Adapted the optional image processing engines within the SDK, providing a more lightweight InspireCV while retaining OpenCV from previous versions; The SDK has been streamlined by removing some third-party dependencies, making it more lightweight.
1. Added and set as default a more lightweight image processing engine;
2. Modified the vector management engine of the Feature-Hub module to sqlite-vec, improving search efficiency;
3. Replaced internal data structures with generic abstract classes to ensure generalization;
4. Achieved overall SDK size reduction, resulting in a more lightweight library through compilation;
5. Implemented PyPI package management and enhanced the implementation of Python native interfaces.
v1.x
Model Zoo
We provide resource packages (including models, configuration files, etc.) that are supported by InspireFace across different platforms. For more information, please refer to the [README](https://github.com/HyperInspire/InspireFace/blob/master/README.md).
Different target platforms will use different compilation options and require different resource files. Generally, Pikachu and Megatron are universal models that work across all platforms, while the Gundam series needs to be selected based on the NPU support of your target device that you're compiling for.
Version: t3 Series
Normalize the version information and add other parameter structures besides the model configuration.
1. Pikachu
Lightweight model package for mobile devices using CPU inference.
2. Megatron
More professional face recognition model, suitable for mobile, server and other CPU or GPU reasoning scenarios.
3. Gundam_RV1109
Rockchip specific model for NPU inference of **RV1109/RV1126** devices.
4. Gundam_RV1106
Rockchip specific model for NPU inference of **RV1103/RV1106** devices.
5. Gundam_RK356X
Rockchip specific model for NPU inference of **RK3566/RK3568** devices.